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thereafter. We are seeking a detail-oriented and well-structured candidate to support our research on ecological modelling and simulation, contributing to projects within sustainable agriculture and ecological
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on understanding and controlling the structure of the casein micelle (CM), a key component in dairy systems, under various simulated processing conditions. The project will be caried out in close collaboration with
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
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. Extensive experience in scientific computing involving programming, numerical analysis, symbolic and logical analysis, Monte Carlo simulations, and computer graphics. Experience in Matlab, Mathematica
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implement an integrated, data-driven digital twin of the national energy system, capable of simulating and analyzing multi-energy infrastructures (electricity, heat, gas, hydrogen) across spatial and temporal
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on the creation and application of predictive simulation models Collaboration on the development of data processing and fusion algorithms Collaboration on the virtual modeling of marine structures Conducting and
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develop data flows and methods for utilizing the data in simulation models. We are particularly keen to appoint a data-savvy researcher with strong Python and SQL skills to lead data integration, curation
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understanding of geomagnetic field evolution across different timescales, including both stable and extreme periods. This will involve working with data-based models and numerical dynamo simulations
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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properties (k, cp) as f(T) Particle Finite Element Method (PFEM) simulations Co-ordination of collaboration with project partners Evaluation, compilation and presentation of results, documentation, preparation